PPT-National Climate Predictions and Projections

Author : mediumgeneral | Published Date : 2020-08-03

Platform NCPP Introduction Status Plans August 23 2011 NCPP Core Organizing Team Richard B Rood presenting Core Organizing Team 20110823 Ammann Caspar Anderson

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National Climate Predictions and Projections: Transcript


Platform NCPP Introduction Status Plans August 23 2011 NCPP Core Organizing Team Richard B Rood presenting Core Organizing Team 20110823 Ammann Caspar Anderson Donald. 20 to 22 26 to 30 26 to 29 23 to 25 20 to 23 18 to 23 21 to 32 21 to 30 20 to 26 18 to 26 June projection 21 to 23 30 to 32 25 to 30 na 21 to 23 19 to 24 22 to 36 22 to 32 na 18 to 25 Unemployment rate 59 to 60 54 to 56 51 to 54 49 to 53 52 to 55 5 28 to 30 30 to 32 25 to 30 22 to 23 21 to 30 22 to 35 22 to 34 18 to 24 December projection 28 to 32 30 to 34 25 to 32 22 to 24 22 to 33 22 to 36 21 to 35 18 to 25 Unemployment rate 61 to 63 56 to 59 52 to 56 52 to 56 60 to 65 54 to 59 51 to 58 52 Carolina Vera. CIMA/CONICET-Univ. of Buenos Aires, Argentina. sample. Overview of SREX Chapter 3. Authors. : . Sonia Seneviratne, Neville Nicholls. , David . Easterling. , Clare . Goodess. , . Shinjiro. – . An assessment of past emission projections reported by Member States under EU air pollution and greenhouse gas legislation. . Martin . Adams, Melanie Sporer. . Air and Climate Change Programme . (. mis. )Usage and (. mis. )Interpretation?. Greg Ball. BSPS meeting 16 December 2013: Gregball@orangehome.co.uk. Projections and Planning. Planners mainly interested in change over time rather than future stock. Chris Ferro (University of Exeter). Tom . Fricker. , . Fredi. Otto, Emma Suckling. 12th International Meeting on Statistical Climatology (28 June 2013, . Jeju. , Korea). Credibility and performance. – . An assessment of past emission projections reported by Member States under EU air pollution and greenhouse gas legislation. . Martin . Adams, Melanie Sporer. . Air and Climate Change Programme . 3.8 Time Series. What we are looking at now. Very important for Merit AND Excellence!. Fitted vs. Raw. This involves comparing the raw data (black line) with the fitted model (green line).. In particular, we are looking at how well the model fits the data. . Chris Ferro (University of Exeter). Tom . Fricker. , . Fredi. Otto, Emma Suckling. Credibility and performance. Many factors may influence credibility judgments, but should do so if and only if they affect our expectations about the performance of the predictions.. Systems. Acknowledgements: Barron Orr, AZ Geospatial Extension Specialist. Operation On-Target. With support from:. NSF DUE-0903270. Prepared by:. in partnership with:. John McGee. Jennifer McKee. Geospatial Technician Education Through Virginia’s Community Colleges (GTEVCC). Helen You. Texas Demographic Conference. May 2018 . Austin, Texas. Texas Population . Projections . Program. TDC . produces. projections of the population of the . STATE. and all . COUNTIES. in the state by . Seas (CLIMSEA). Helén Andersson, Markus Meier, Matthias Gröger, Christian Dieterich. RCP8.5. RCP4.5. 2. o. C. Temperature. . change. in the Baltic Sea . Ice. . extent. Modell . Observations. EC-EARTH RCP4.5. Carbon budgets based on new climate projections of the SSP scenarios and observations Yann Quilcaille , Thomas Gasser, Philippe Ciais, Franck Lecocq, Michael Obersteiner EGU, Vienna, 08 Apr 2019 Session CL3.03/BG1.24 Flavio Lehner. , Andrew W. Wood, Julie A. . Vano. , David M. Lawrence, . Martyn. P. Clark, Justin S. . Mankin. : . Nature Climate Change, 9, 926–933 (2019) doi:10.1038/s41558-019-0639-x. APPROACH.

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